Accuracy is the proportion of correctly classified samples from all samples [1]}.
TP, FN, FP and TN can be composed as confusion matrix [2]}.
The columns of confusion matrix are predicted results and rows are real classification.
Precision is the probability of samples which are correct predicted from the predicted positive samples.
Recall is the proportion of positive prediction from all positive samples [3]}.
F1-score is the weighted harmonic average of precision and recall [4]}.
